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NEW QUESTION: 1
In a motor vehicle lease, a mathematical progression showing how the periodic payment is derived, containing the following information:
A. Gross capitalized cost (including the agreed-on value of the vehicle)
B. All of the above
C. Itemization of other charges that are part of the periodic payment
D. Rent charge (the difference between the total of base payment over the lease term minus the depreciation and any amortized amounts)
Answer: B

NEW QUESTION: 2
IPv6アドレスの表記に関する説明は正しいですか?
A. 2つ以上のゼロのグループを1つのゼロに減らすことができます。
B. すべての番号に注釈を付ける必要があります。
C. ::の使用は、マルチキャストアドレスを示します。
D. 4つのゼロのグループは、表記から省略できます。
Answer: A

NEW QUESTION: 3
You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following:
* Bikes
* Cars
* Vans
* Boats
You are building a regression model using the scikit-learn Python package.
You need to transform the text data to be compatible with the scikit-learn Python package.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: pandas as df
Pandas takes data (like a CSV or TSV file, or a SQL database) and creates a Python object with rows and columns called data frame that looks very similar to table in a statistical software (think Excel or SPSS for example.
Box 2: transpose[ProductCategoryMapping]
Reshape the data from the pandas Series to columns.
Reference:
https://datascienceplus.com/linear-regression-in-python/